Are you tired of spending more time estimating and forecasting when work will be done than you spend actually doing the work? Exaggeration or not, if you calculate the value of the time used by your experts to go deep into requirements to break down tasks and estimate time, how much does it cost? How often do those expensive estimates turn out to be wrong despite your investment? The exciting news is that there's a way that you can save money and stress to quickly generate forecasts that are as reliable, or better, than the ones you're slaving over today.

In this session you'll learn about the components of a probabilistic forecast and how to use two simple metrics, cycle time and throughput, to create and continuously update your forecasts. You'll learn that if you track the start and finish time of your work, then you can use your historical data to learn the possible outcomes and the odds of each, allowing you to choose the appropriate forecast for the level of risk you're willing to accept. When you leave this session you'll have solid tactics to answer the questions "How much can we complete by X date?" and "How long will this take?" for both individual and multiple work items.

https://xeric.webex.com/xeric/j.php?MTID=me19770385184132ef1bb9c6c4c1e1e73